Data Engineer: Build Scalable Pipelines & ML Platform

True Software Scandinavia AB; Stockholms kommun; Hybrid; SEK 700,000 - 1,000,000; Full time

Benefits offered by this job

30 days vacation

Private health insurance

Pension matching

Lab Days (innovation time)

Job summary

Truecaller is looking for a Data Engineer to join the Data infrastructure team, responsible for building and maintaining a scalable, self-service analytics platform. You will help ingest billions of events daily, support cross-team pipelines, and collaborate with data scientists and analysts to drive production-grade data solutions.

The role emphasizes hands-on development, scalability, and a culture of experimentation, with opportunities to build ML use cases and streaming workloads on a modern

Qualifications

• 3+ years of experience in data engineering.
• Experience with an orchestration tool (Airflow).
• Experience with large data sets and building complex ETL pipelines.
• Experience with cloud providers (GCP, AWS, Azure).
• Strong programming skills in Spark with Scala and Python.
• Experience with CI/CD tools like Jenkins and Git.
• Strong understanding of software engineering practices and principles.

Responsibilities

• Maintain and improve the ingestion pipeline to reliably deliver billions of events daily within SLA.
• Provide support for teams in building and optimizing complex pipelines.
• Collaborate with other teams to identify pain points and improve the platform.
• Develop new tools and frameworks to enhance the data platform.
• Work with data scientists/analysts to support production workloads; work on ML platform and streaming use cases.
• Set up best practices and processes around software and data development.

Skills

Data engineering

Spark/Scala/Python

Problem-solving

Communication

Initiative

Tools

Airflow

Jenkins

Git

Kafka

Kubernetes

BigQuery/Redshift

Job description

Truecaller is looking for a Data Engineer to join the Data infrastructure team, responsible for building and maintaining a scalable, self-service analytics platform. You will help ingest billions of events daily, support cross-team pipelines, and collaborate with data scientists and analysts to drive production-grade data solutions.

The role emphasizes hands-on development, scalability, and a culture of experimentation, with opportunities to build ML use cases and streaming workloads on a modern